We study and provide efficient algorithms for multi-objective model checking problems for Markov Decision Processes (MDPs). Given an MDP, M, and given multiple linear-time (ω-regu...
Kousha Etessami, Marta Z. Kwiatkowska, Moshe Y. Va...
Abstract. We present a tool developed for fostering probabilistic model checking of services formally specified in Scows, a stochastic enrichment of the Calculus for Orchestration ...
Gossip protocols have been proposed as a robust and efficient method for disseminating information throughout dynamically changing networks. We present an analysis of a gossip pro...
This work introduces probabilistic model checking as a viable tool-assisted approach for systematically quantifying DoS security threats. The proposed analysis is based on a proba...
Lossy channel systems (LCS’s) are systems of finite state automata that communicate via unreliable unbounded fifo channels. We propose a new probabilistic model for these syste...